1.Association between insufficient sleep and depressive symptoms among junior and senior high school students
LI Minmin, ZHANG Zhankui, MI Baibing, ZHAO Jingjun, WANG Yanxin, SHI Wei
Chinese Journal of School Health 2026;47(2):241-245
Objective:
To analyze the association between insufficient sleep and score of depressive symptoms among junior and senior high school students, so as to provide a scientific reference for targeted early intervention measures of adolescents depressive symptoms.
Methods:
From September to November 2023, a stratified cluster random sampling method was used to select 96 080 junior and senior high school students from 409 schools in 113 districts and counties in Shaanxi Province. A questionnaire survey was conducted using the 2023 Shaanxi Provincial Common Student Diseases and Health Influencing Factors Survey Form, and their height and weight were measured. Propensity score (PS) matched (1∶1) analysis was used to match participants with insufficient sleep to those sufficient sleep students. Through the gradual correction of the confounders, three multilevel linear models were established to analyze the association between insufficient sleep and depressive symptoms score, and subgroup analysis was conducted afterward.
Results:
A total of 70 135 (73.00%) students had insufficient sleep. After PS matching, 25 894 pairs were matched. Before PS matching, after adjusting for gender, educational stage, region, adolescent characteristics, boarding status, smoking, alcohol consumption, outdoor activities and body mass index grouping, linear regression analysis results showed that compared with students who got adequate sleep, students who lacked sleep had an increase of 1.39 scores ( B=1.39, 95%CI =1.28-1.51) in depressive symptoms; after PS matching, students with insufficient sleep got an increase of 1.32 scores ( B=1.32, 95%CI =1.17- 1.45 ) in depressive symptoms score compared with those who had adequate sleep (both P <0.05).
Conclusions
The insufficient sleep is associated with the increase of the depressive symptoms score of junior and senior high school students. It is recommended that junior and senior high school students should keep a good sleeping habit, so as to reduce the prevalence of depressive symptoms.
2.Identification and evaluation of COL12A1 as a novel serological diagnostic marker in pancreatic ductal adenocarcinoma
Jia LIU ; Lingjie REN ; Minmin SHI ; Xiaomei TANG ; Fangfang MA ; Jiejie QIN
Journal of Shanghai Jiaotong University(Medical Science) 2025;45(10):1342-1352
Objective·To identify and evaluate novel and reliable non-invasive serological biomarkers for detecting pancreatic ductal adenocarcinoma(PDAC).Methods·Sixty-seven PDAC patients(Ruijin cohort Ⅰ)were recruited at Pancreatic Center,Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,from May 2018 to December 2019.Global proteome profiling of 67 PDAC tumor tissues and 67 matched adjacent normal tissues was performed using mass spectrum.Bioinformatics analysis on the proteomics data was conducted to identify new biomarkers,and receiver operating characteristic(ROC)curves and the area under the curve(AUC)were used to evaluate their value of detecting PDAC.The proteomic and mRNA sequencing data were further downloaded and analysed from the Clinical Proteomic Tumor Analysis Consortium(CPTAC)cohort for validation.In addition,the Ruijin Cohort Ⅱ,consisting of 47 PDAC patients and 75 healthy individuals,was recruited for a case-control study from June 2021 to June 2022.Enzyme-linked immunosorbent assay(ELISA)was used to detect the expression level of new biomarkers in the serum of patients and healthy individuals to evaluate the serological diagnostic values of them.Results·Collagen type Ⅻ α1 chain(COL12A1)was identified as a candidate biomarker for PDAC diagnosis based on differential expression analysis on the proteomic data and was validated to be higher in tumor tissues than in adjacent normal tissues in the CPTAC cohort.In addition,COL12A1 protein levels were significantly higher in the sera of PDAC patients than in those of healthy controls,showing good diagnostic performance with an AUC of 0.82,a sensitivity of 81%,and a specificity of 83%.ROC analysis revealed that COL12A1 improved the performance of carbohydrate antigen 199(CA199)in distinguishing PDAC patients from healthy individuals(AUCCA199=0.91 vs AUCCA199+COL12A1=0.95,P<0.05).Furthermore,COL12A1 also showed excellent ability to distinguish early-stage PDAC patients(stage Ⅰ?Ⅱ)from healthy individuals(AUCCOL12A1=0.83),and significantly improved the AUC of CA199 in early-stage PDAC patients(AUCCA199=0.92 vs AUCCA199+COL12A1=0.97,P<0.05).Conclusion·COL12A1 is a potential serological diagnostic marker that complements CA199 in detecting early-stage PDAC.
3.A study on the inequality of information needs for cardiac rehabilitation in urban and rural patients with coronary heart disease
Minmin CHEN ; Yaqing LU ; Qiyu CHEN ; Yingchun LIU ; Qin WANG ; Lihua SHI
Chinese Journal of Practical Nursing 2025;41(26):2058-2066
Objective:To analyze the current situation and influencing factors of information need for cardiac rehabilitation of urban and rural patients with coronary heart disease, and explore the inequality of information need for cardiac rehabilitation among urban and rural patients with coronary heart disease and its influencing factors, so as to provide a scientific reference for formulating targeted cardiac rehabilitation programs.Methods:From June to July 2024, hospitalized patients with coronary heart disease from a Class A tertiary hospital in Suzhou City were selected by convenience sampling as the study subjects. A General Information Questionnaire, Information Need in Cardiac Rehabilitation Hospital Anxiety and Depression Scale, Health Literacy Management Scale, and Coronary Artery Disease Self-Management Scale were used to conduct a questionnaire survey. Multiple linear regression was used to analyze the influencing factors of the cardiac rehabilitation information needs and the oaxaca-blinder model was used to analyze the causes of unequal information needs in urban and rural patients.Results:A total of 254 hospitalized patients with coronary heart disease who met the inclusion and exclusion criteria were surveyed, included 127 males and 127 females, 182 of them were aged 60 years or older. The total cardiac rehabilitation information needs score of rural and urban patients with coronary heart disease were 168.00 (115.50, 255.00) and 213.00 (132.00, 255.00), respectively, the difference was significant ( U = 5 389.50, P<0.05). Multiple regression analysis showed that health literacy ( β = 0.871, P<0.05) was the influencing factor of cardiac rehabilitation information needs of rural coronary heart disease patients, and depression ( β = 0.719, P<0.05) and living status ( β = -0.186, P<0.05) was the influencing factor of cardiac rehabilitation information needs of urban coronary heart disease patients. Average monthly household income per capita (C = 14.50%) and health literacy (C = 88.30%) were the main causes of the difference in cardiac rehabilitation information needs between urban and rural patients with coronary heart disease. Conclusions:The information demand for cardiac rehabilitation of patients with coronary heart disease in rural area is lower than that in urban areas in Suzhou, mainly due to health literacy and monthly income. It is recommended to narrow the urban-rural gap by improving rural health literacy, optimizing medical insurance policies, and promoting a multi-level rehabilitation service network.
4.Identification and evaluation of COL12A1 as a novel serological diagnostic marker in pancreatic ductal adenocarcinoma
Jia LIU ; Lingjie REN ; Minmin SHI ; Xiaomei TANG ; Fangfang MA ; Jiejie QIN
Journal of Shanghai Jiaotong University(Medical Science) 2025;45(10):1342-1352
Objective·To identify and evaluate novel and reliable non-invasive serological biomarkers for detecting pancreatic ductal adenocarcinoma(PDAC).Methods·Sixty-seven PDAC patients(Ruijin cohort Ⅰ)were recruited at Pancreatic Center,Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,from May 2018 to December 2019.Global proteome profiling of 67 PDAC tumor tissues and 67 matched adjacent normal tissues was performed using mass spectrum.Bioinformatics analysis on the proteomics data was conducted to identify new biomarkers,and receiver operating characteristic(ROC)curves and the area under the curve(AUC)were used to evaluate their value of detecting PDAC.The proteomic and mRNA sequencing data were further downloaded and analysed from the Clinical Proteomic Tumor Analysis Consortium(CPTAC)cohort for validation.In addition,the Ruijin Cohort Ⅱ,consisting of 47 PDAC patients and 75 healthy individuals,was recruited for a case-control study from June 2021 to June 2022.Enzyme-linked immunosorbent assay(ELISA)was used to detect the expression level of new biomarkers in the serum of patients and healthy individuals to evaluate the serological diagnostic values of them.Results·Collagen type Ⅻ α1 chain(COL12A1)was identified as a candidate biomarker for PDAC diagnosis based on differential expression analysis on the proteomic data and was validated to be higher in tumor tissues than in adjacent normal tissues in the CPTAC cohort.In addition,COL12A1 protein levels were significantly higher in the sera of PDAC patients than in those of healthy controls,showing good diagnostic performance with an AUC of 0.82,a sensitivity of 81%,and a specificity of 83%.ROC analysis revealed that COL12A1 improved the performance of carbohydrate antigen 199(CA199)in distinguishing PDAC patients from healthy individuals(AUCCA199=0.91 vs AUCCA199+COL12A1=0.95,P<0.05).Furthermore,COL12A1 also showed excellent ability to distinguish early-stage PDAC patients(stage Ⅰ?Ⅱ)from healthy individuals(AUCCOL12A1=0.83),and significantly improved the AUC of CA199 in early-stage PDAC patients(AUCCA199=0.92 vs AUCCA199+COL12A1=0.97,P<0.05).Conclusion·COL12A1 is a potential serological diagnostic marker that complements CA199 in detecting early-stage PDAC.
5.A study on the inequality of information needs for cardiac rehabilitation in urban and rural patients with coronary heart disease
Minmin CHEN ; Yaqing LU ; Qiyu CHEN ; Yingchun LIU ; Qin WANG ; Lihua SHI
Chinese Journal of Practical Nursing 2025;41(26):2058-2066
Objective:To analyze the current situation and influencing factors of information need for cardiac rehabilitation of urban and rural patients with coronary heart disease, and explore the inequality of information need for cardiac rehabilitation among urban and rural patients with coronary heart disease and its influencing factors, so as to provide a scientific reference for formulating targeted cardiac rehabilitation programs.Methods:From June to July 2024, hospitalized patients with coronary heart disease from a Class A tertiary hospital in Suzhou City were selected by convenience sampling as the study subjects. A General Information Questionnaire, Information Need in Cardiac Rehabilitation Hospital Anxiety and Depression Scale, Health Literacy Management Scale, and Coronary Artery Disease Self-Management Scale were used to conduct a questionnaire survey. Multiple linear regression was used to analyze the influencing factors of the cardiac rehabilitation information needs and the oaxaca-blinder model was used to analyze the causes of unequal information needs in urban and rural patients.Results:A total of 254 hospitalized patients with coronary heart disease who met the inclusion and exclusion criteria were surveyed, included 127 males and 127 females, 182 of them were aged 60 years or older. The total cardiac rehabilitation information needs score of rural and urban patients with coronary heart disease were 168.00 (115.50, 255.00) and 213.00 (132.00, 255.00), respectively, the difference was significant ( U = 5 389.50, P<0.05). Multiple regression analysis showed that health literacy ( β = 0.871, P<0.05) was the influencing factor of cardiac rehabilitation information needs of rural coronary heart disease patients, and depression ( β = 0.719, P<0.05) and living status ( β = -0.186, P<0.05) was the influencing factor of cardiac rehabilitation information needs of urban coronary heart disease patients. Average monthly household income per capita (C = 14.50%) and health literacy (C = 88.30%) were the main causes of the difference in cardiac rehabilitation information needs between urban and rural patients with coronary heart disease. Conclusions:The information demand for cardiac rehabilitation of patients with coronary heart disease in rural area is lower than that in urban areas in Suzhou, mainly due to health literacy and monthly income. It is recommended to narrow the urban-rural gap by improving rural health literacy, optimizing medical insurance policies, and promoting a multi-level rehabilitation service network.
6.Current situation and discussion on curriculum construction of "Fundamentals of Toxicology" in preventive medicine major of TCM universities in China
Zhigang ZHANG ; Longzhu LIU ; Yang YANG ; Chuandao SHI ; Minmin TIAN ; Qiong ZHANG
Chinese Journal of Medical Education Research 2023;22(11):1745-1750
Objective:To know the current situation of curriculum construction of "Fundamentals of Toxicology" of preventive medicine major in traditional Chinese medicine (TCM) universities.Methods:The undergraduates of preventive medicine major from TCM universities in whole China were selected as the research objects using the cluster sampling method, who took "Fundamentals of Toxicology" course in the 2019-2020 academic year. Questionnaires were compiled and analyzed using descriptive method and radar chart.Results:Six TCM universities were investigated in this study. According to the results, 83.09% (344/414) thought it was necessary to set up the "Fundamentals of Toxicology" course, and the main motivation was to deal with the examination. The agreement rate between the opening semester and the students' wishes was 59.90% (248/414), and the percentages of better satisfaction of theoretical course teaching content, selection of teaching materials and class time were 64.73% (268/414), 55.07% (228/414) and 59.90% (248/414) respectively. The satisfaction rate of experimental course setting, teaching effect and class time was 59.66% (247/414), 62.08% (257/414) and 58.21% (241/414) respectively. It was better to set five times [27.29% (113/414)] or four times [26.81% (111/414)], and four students in each group was the best [53.86% (223/414)]. The most interesting experiment project was bone marrow micronucleus test [29.21% (59/202)], and comprehensive design experiments and highly operable experimental projects should be added. The radar chart of the core knowledge was normal operation type, and there were some differences among students in different schools.Conclusion:There are some differences in the course setting and core knowledge mastery level of the "Fundamentals of Toxicology" course of preventive medicine major in TCM universities. It is necessary to optimize the curriculum construction from opening semester, textbook selection, teaching content, experimental project, etc.
7.A Deep Mesencephalic Nucleus Circuit Regulates Licking Behavior.
Di ZHENG ; Jia-Yu FU ; Meng-Yu TANG ; Xiao-Dan YU ; Yi ZHU ; Chen-Jie SHEN ; Chun-Yue LI ; Shi-Ze XIE ; Shan LIN ; Minmin LUO ; Xiao-Ming LI
Neuroscience Bulletin 2022;38(6):565-575
Licking behavior is important for water intake. The deep mesencephalic nucleus (DpMe) has been implicated in instinctive behaviors. However, whether the DpMe is involved in licking behavior and the precise neural circuit behind this behavior remains unknown. Here, we found that the activity of the DpMe decreased during water intake. Inhibition of vesicular glutamate transporter 2-positive (VGLUT2+) neurons in the DpMe resulted in increased water intake. Somatostatin-expressing (SST+), but not protein kinase C-δ-expressing (PKC-δ+), GABAergic neurons in the central amygdala (CeA) preferentially innervated DpMe VGLUT2+ neurons. The SST+ neurons in the CeA projecting to the DpMe were activated at the onset of licking behavior. Activation of these CeA SST+ GABAergic neurons, but not PKC-δ+ GABAergic neurons, projecting to the DpMe was sufficient to induce licking behavior and promote water intake. These findings redefine the roles of the DpMe and reveal a novel CeASST-DpMeVGLUT2 circuit that regulates licking behavior and promotes water intake.
8.Regulatory effect of CCN3 on proliferation of mouse embryonic fibroblasts and its mechanism.
Shiyu CHEN ; Xin SU ; Junping LIU ; Yutong SHI ; Minmin WU ; Mengqi XU ; Fengmei ZHANG ; Min TANG
Journal of Southern Medical University 2021;41(1):79-86
OBJECTIVE:
To investigate the role of NOV/CCN3 in regulating the proliferation of mesenchymal stem cells (MSCs) and its regulatory mechanism and assess the value of CCN3 as a proliferative factor in bone tissue engineering.
METHODS:
Mouse embryonic fibroblasts (MEFs) were used as the MSC model, in which CCN3 expression was up-regulated and downregulated by transfection with the recombinant adenovirus vectors Ad-CCN3 and Ad-siCCN3, respectively. Flow cytometry was used to analyze the changes in cell cycle and apoptosis of the transfected cells. Western blotting was used to detect the expression levels of the proliferation indicators (PCNA, cyclin E, and cyclin B1) and the apoptosis indicators (Bax and Bcl-2) to assess the effect of modulation of CCN3 expression on MEF proliferation and apoptosis. CCN3 protein secretion by the cells was detected using ELISA. RT-qPCR and Western blotting were employed to analyze the changes in the expressions of Notch1, ligand DLL1, the downstream key proteins or genes (Hey1, P300, H3K9) and MAPK pathway-related proteins ERK1+2 and p-ERK1+2.
RESULTS:
Flow cytometry showed that compared with the control cells, MEFs transfected with Ad-CCN3 exhibited significantly increased cell proliferation index (
CONCLUSIONS
CCN3 over-expression promotes the proliferation and inhibits apoptosis of MEFs possibly by inhibiting the classical Notch signaling pathway and activating the MAPK pathway
Animals
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Apoptosis
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Cell Cycle
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Cell Proliferation
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Fibroblasts
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Mice
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Nephroblastoma Overexpressed Protein
9.Application of artificial intelligence-assisted diagnosis for cervical liquid-based thin-layer cytology
Xiaohui ZHU ; Xiaoming LI ; Wenli ZHANG ; Minmin LIAO ; Yu LI ; Feifei WANG ; Bin SHANG ; Linggan PENG ; Yongjian SU ; Zejun YOU ; Jianyuan SHI ; Wenlong ZHONG ; Xinrong LIANG ; Changjiang LIANG ; Li LIANG ; Wenting LIAO ; Yanqing DING
Chinese Journal of Pathology 2021;50(4):333-338
Objective:To explore the application value of artificial intelligence-assisted diagnosis system for TBS report in cervical cancer screening.Methods:A total of 16 317 clinical samples and related data of cervical liquid-based thin-layer cell smears, which were obtained from July 2020 to September 2020, were collected from Southern Hospital, Guangzhou Huayin Medical Inspection Center, Shenzhen Bao′an People′s Hospital(Group) and Changsha Yuan′an Biotechnology Co., Ltd. The TBS report artificial intelligence-assisted diagnosis system of cervical liquid-based thin-layer cytology jointly developed by Southern Medical University and Guangzhou F. Q. PATHOTECH Co., Ltd. based on deep learning convolution neural network was used to diagnose all clinical samples. The sensitivity,specificity and accuracy of both artificial intelligence-assisted diagnosis system and cytologists using artificial intelligence-assisted diagnosis system were analyzed based on the evaluation standard(2014 TBS). The time spent by the two methods was also compared.Results:The sensitivity of artificial intelligence-assisted diagnosis system in predicting cervical intraepithelial lesions and other lesions (including endometrial cells detected in women over 45 years old and infectious lesions) under different production methods, different cytoplasmic staining and different scanning instruments was 92.90% and 83.55% respectively, and the specificity of negative samples was 87.02%, while that of cytologists using artificial intelligence-assisted diagnosis system was 99.34%, 97.79% and 99.10%, respectively. Moreover, cytologists using artificial intelligence-assisted diagnosis system could save about 6 times of reading time than manual.Conclusions:Artificial intelligence-assisted diagnosis system for TBS report of cervical liquid-based thin-layer cytology has the advantages of high sensitivity, high specificity and strong generalization. Cytologists can significantly improve the accuracy and work efficiency of reading smears by using artificial intelligence-assisted diagnosis system.
10.Diagnostic value of ultrasonography for placenta accreta in high risk first-trimester pregnant women
Yanfen YANG ; Minmin TANG ; Ruyong SHI
Chinese Journal of General Practitioners 2019;18(6):572-575
The clinical data of 113 early pregnant (11-14 weeks) women with high risk of placenta accreta undergoing ultrasound examination in Jinhua Maternal and Child Health Hospital from June 2013 to June 2018 were retrospectively analyzed.Among them,there were 21 cases of placenta accreta (implanted group) and 92 cases without placenta accreta (non-implanted group).The diagnostic value of different μltrasound signs for placenta accreta was assessed.The sensitivity of loss of clear zone was 71%(15/21),and the specificity was 87% (80/92);the sensitivity of placental lacunae and bladder wall interruption was 67%(14/21) and 62%(13/21),and the specificity was 78%(72/92) and 95%(87/92),respectively.The uterovesical hypervascularity has the lowest sensitivity (38%,8/21),but the highest specificity (98%,90/92).When combination of 2 sings was used for diagnosis,the sensitivity of the ultrasound examination was 76% (16/21) and the specificity was 65%(60/92);when the combination of 3 signs was used,the sensitivity and specificity were 76% (16/21) and 93% (86/92),respectively.It is suggested that ultrasound examination in early pregnancy may find all types of placenta implants with good diagnostic accuracy.


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